class_docstr: Handler for `VarLenFeature` values.
  
  `VarLenFeature` values will be parsed as an array of values of the
  corresponding dtype. In case the value is missing an empty array
  will be returned.
class_docstr_tok: ["Handler","for","`","VarLenFeature","`","values",".","`","VarLenFeature","`","values","will","be","parsed","as","an","array","of","values","of","the","corresponding","dtype",".","In","case","the","value","is","missing","an","empty","array","will","be","returned","."]
code: def name(self):
      return self._name
  
file_path: transform/tensorflow_transform/coders/csv_coder.py
imports: import csv
  import io
  import numpy
  import tensorflow
  from tensorflow_transform.tf_metadata import schema_utils
label_desc: Use image node_id 2 for calling the _VarLenFeatureHandler obj's underlying member method code with example usage: obj.name() and returns: self